A. Feinberg, May 2022
arifeinberg@gmail.com

Essential data and code for the publication:  Feinberg et al. (2022): Evaluating atmospheric mercury (Hg) uptake by vegetation in a chemistry-transport model, Environmental Science: Processes & Impacts, https://doi.org/10.1039/D2EM00032F

The simulations are (GC_data/):
BASE - run0005
OBRIST - run0016
OBRIST_R - run0017
AMAZON_L - run0018
AMAZON_U - run0019
NEWCHEM - run0102
NEWCHEM_D - run0105
savannization of Amazon rainforest w/ South American anthropogenic emissions on - run0020
savannization of Amazon rainforest w/ South American anthropogenic emissions off - run0022
no savannization (normal conditions like run0019) w/ South American anthropogenic emissions off - run0023

The scripts for the Figures are:
Figure 1 - map_obs_litter_through_drydep.py
Calculation of offline drydep velocities:  drydep_GEOSChem_landtype_h_v3.py
Figure 2 - compare_drydepvel_offline_obs_v5.py
Figure 3 - temp_compare_seasonal_f0_red.py
Figure 4 - compare_S_America_Hg0_other.py
Figure 5  - left side - drydep_plot_Amazon_v2.py, right side - totaldep_compare_sav.py
Figure 6 - budget.pptx

SI Figure 8 - Trying different resistances for O3/Hg -  compare_O3_Hg_dep.py

Observational datasets are located in obs_data/
Miscellaneous intermediate datasets for plotting scripts are located in misc_data/
